Correlation Between Comstock Capital and Gabelli Value
Can any of the company-specific risk be diversified away by investing in both Comstock Capital and Gabelli Value at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Comstock Capital and Gabelli Value into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Comstock Capital Value and The Gabelli Value, you can compare the effects of market volatilities on Comstock Capital and Gabelli Value and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Comstock Capital with a short position of Gabelli Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Comstock Capital and Gabelli Value.
Diversification Opportunities for Comstock Capital and Gabelli Value
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between COMSTOCK and Gabelli is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Comstock Capital Value and The Gabelli Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gabelli Value and Comstock Capital is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Comstock Capital Value are associated (or correlated) with Gabelli Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gabelli Value has no effect on the direction of Comstock Capital i.e., Comstock Capital and Gabelli Value go up and down completely randomly.
Pair Corralation between Comstock Capital and Gabelli Value
Assuming the 90 days horizon Comstock Capital is expected to generate 4.22 times less return on investment than Gabelli Value. But when comparing it to its historical volatility, Comstock Capital Value is 1.85 times less risky than Gabelli Value. It trades about 0.17 of its potential returns per unit of risk. The Gabelli Value is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 694.00 in The Gabelli Value on September 1, 2024 and sell it today you would earn a total of 46.00 from holding The Gabelli Value or generate 6.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Comstock Capital Value vs. The Gabelli Value
Performance |
Timeline |
Comstock Capital Value |
Gabelli Value |
Comstock Capital and Gabelli Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Comstock Capital and Gabelli Value
The main advantage of trading using opposite Comstock Capital and Gabelli Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Comstock Capital position performs unexpectedly, Gabelli Value can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Gabelli Value will offset losses from the drop in Gabelli Value's long position.Comstock Capital vs. Gabelli Esg Fund | Comstock Capital vs. Gabelli Global Financial | Comstock Capital vs. The Gabelli Equity | Comstock Capital vs. Gamco International Growth |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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